Find remote programming jobs in Frontend, Backend, DevOps, QA, or as a FullStack or Data engineer. We curate the best remote software development jobs to match your area of expertise. Software Developers design, specify, create, and maintain web and native apps. Remote Software Engineer jobs where people telecommute (work remotely) are on the rise and we can help you to stay ahead of the curve.
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Perform transcription and annotation of audio or video files with high accuracy. Collect voice data and label information according to specific project guidelines.
Perform transcription and annotation of audio or video files according to specific project guidelines. Collect voice data and label information based on defined criteria to support AI training.
Perform transcription and annotation of audio or video files with high accuracy. Collect voice data and label information according to specific project guidelines.
Perform transcription and annotation of audio or video files with high accuracy. Collect voice data and label information according to specific project guidelines.
Join a talent community to be considered for future roles across engineering, product, sales, and marketing. Contribute to solving real-world water infrastructure challenges using AI technology.
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Plan and execute multi-channel lifecycle campaigns and automated customer journeys to drive retention and engagement. Analyze key CRM metrics and conduct A/B testing to optimize customer value and business growth.
Lead the commercial growth of TensorOps by building strategic relationships with AWS account managers and field teams to generate a pipeline of AI opportunities. Manage the full sales cycle from discovery and proposal to contract negotiation and post-signature account management.
Lead and mentor a team of full-stack developers to build scalable, cloud-native enterprise IT solutions for the U.S. federal government. Define technical roadmaps, design modern application architectures, and manage stakeholder engagements to ensure successful project delivery.
Design and optimize scalable backend services and data pipelines for ingestion, transformation, and distribution of health data. Modernize legacy systems into AWS-native microservices while ensuring data reliability, security, and compliance.
Design, customize, and implement technical solutions within Microsoft Dynamics 365 Finance & Operations using X++ and extensions. Collaborate with functional teams to translate business requirements into technical designs and manage code deployments.
Lead the design and delivery of AI-driven automation solutions integrated into enterprise back-end systems like CRM, ERP, and iPaaS. Ensure the scalability, security, and governance of AI systems while aligning technical decisions with organizational goals.
Act as the interface between sales, internal users, and Salesforce development to ensure the correct mapping of B2A sales processes. Provide daily support to internal users and document processes, changes, and best practices.
Maintain and modernize a complex backend cloud infrastructure processing over 350 million requests daily using AWS and Terraform. Build maintainable, tested API applications in Ruby while mentoring a distributed team of developers.
Design and deploy scalable automation and AI systems to reduce manual workloads and improve operational efficiency. Build internal tools, integrate core business systems, and establish governance for the safe use of AI within a legal professional services environment.
Lead a team of technical leads and architects to oversee critical enterprise integration and API platforms. Drive the modernization of platforms using cloud-native practices, API-first strategies, and AI-driven automation.
Lead the end-to-end architecture and execution of data platforms and LLM-powered products for Fortune 500 customers. Drive technical standards, mentor senior engineers, and collaborate cross-functionally to deliver scalable AI-driven marketing technologies.
Lead the end-to-end architecture for data platforms and LLM-powered products, overseeing data pipelines and model deployment. Drive technical vision, establish engineering standards, and mentor senior engineers to deliver scalable AI solutions for Fortune 500 customers.
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Manage and support enterprise file services and Active Directory environments, focusing on troubleshooting, optimization, and migrations. Develop automation solutions using PowerShell and Automic to improve operational efficiency within a financial-banking infrastructure.
Collaborate with data scientists to deploy, maintain, and monitor machine learning models in production environments. Design and implement CI/CD pipelines and data workflows to ensure high performance and scalability of AI solutions.
Manage and support enterprise file services and Active Directory environments to ensure secure and high-performing operations. Develop automation solutions using PowerShell and Automic to optimize workplace infrastructure and support modernization projects.
Develop and maintain a platform that enables other development teams to build new features for a fintech application. Manage the integration of external contributions and oversee release processes to ensure smooth delivery.
Install and configure laboratory software systems while integrating them into clinical workflows. Act as a technical subject matter expert to optimize system performance and implement AI-enabled diagnostic solutions.
Provide expert advice to clients on Dynamics 365 best practices and design custom solutions to meet specific business needs. Implement automated business processes and provide ongoing technical support and end-user training.
The role involves architecting and maintaining scalable automated test frameworks to ensure product quality across the full software lifecycle. You will collaborate with developers and product owners to improve system resilience, performance, and scalability in Linux and mainframe environments.
Establish and lead the product analytics function from the ground up to shape product investment decisions. Define KPI frameworks and leverage Pendo to deliver actionable insights that influence roadmap priorities and business outcomes.
Lead the end-to-end delivery of features from problem discovery to production deployment within the Polkadot Research Engineering team. Utilize AI-augmented workflows to rapidly iterate on tools and experiences that accelerate platform adoption.
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Build the company's first end-to-end analytics function from scratch, focusing initially on acquisition attribution and a canonical data model. Establish a single source of truth for business-critical metrics and implement a hypothesis-testing framework for data-driven decision-making.
Lead a team of analysts to drive data governance and establish a single source of truth for business data. Design high-performance data pipelines and create sophisticated visualizations to provide actionable insights for stakeholders.
Develop automation and orchestration solutions for modern network environments and automate recurring operational and deployment processes. Integrate network systems via APIs and support customers in implementing modern automation concepts.
Support the consultant team in implementing Dynamics 365 Customer Engagement projects, including business needs analysis and system configuration. Participate in testing and the preparation of project documentation.
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